SonarQube Mastery: Continuous Code Inspection & Security
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SonarQube Mastery: Continuous Code Inspection & Security
Instructors: Rifat Erdem Sahin
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What you'll learn
Install and configure SonarQube for local and cloud environments.
Integrate SonarQube with CI/CD pipelines for automated quality and security checks.
Analyze SonarQube reports to address technical debt effectively.
Skills you'll gain
- Code Review
- Data Integration
- Security Management
- Security Testing
- CI/CD
- Continuous Delivery
- DevSecOps
- Code Coverage
- Vulnerability Scanning
- Continuous Integration
- Secure Coding
- Maintainability
- Software Technical Review
- Quality Improvement
- Vulnerability Management
- Analysis
- Application Security
- Software Quality Assurance
- Vulnerability
Tools you'll learn
Details to know
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There is 1 module in this course
In today's fast-paced development landscape, maintaining high code quality and robust security is more critical than ever. SonarQube helps teams continuously inspect codebases, identify bugs, vulnerabilities, and code smells across multiple programming languages.
This comprehensive course equips software developers and DevOps professionals with practical skills to effectively utilize SonarQube for enhancing code quality and security. You’ll learn how to set up and configure SonarQube, integrate it into CI/CD workflows, and interpret key metrics like code coverage, maintainability, and reliability to assess code health. Through hands-on exercises and real-world case studies, you will practice identifying and resolving security vulnerabilities and code issues, applying best practices to maintain high standards. This course is designed for software developers, DevOps engineers, and IT professionals who want to improve code quality and security using SonarQube. Whether you're new to static code analysis or looking to integrate SonarQube into existing workflows, this course provides hands-on guidance to help streamline development processes and ensure high-quality software delivery. Learners should have a basic understanding of software development, source control systems like Git, and CI/CD concepts. Familiarity with programming languages such as Java, JavaScript, or Python will be helpful, as SonarQube supports multiple languages. Additionally, some experience with cloud platforms and DevOps tools will enhance the learning experience. By the end of the course, learners will be able to install and configure SonarQube in both local and cloud environments, ensuring seamless integration into development workflows. They will also be able to connect SonarQube with CI/CD pipelines to automate security checks and maintain code quality. Additionally, learners will gain expertise in analyzing SonarQube reports to identify and address technical debt effectively, leading to optimized and secure software solutions.
In this course, you'll learn how to effectively use SonarQube to enhance code quality and security. Through hands-on exercises, you’ll set up and configure SonarQube, integrate it into CI/CD workflows, and interpret key metrics like code coverage and maintainability. You'll also practice identifying and resolving vulnerabilities, addressing technical debt, and applying best practices to maintain high standards across your codebase. By the end, you'll be equipped to ensure your code is clean, secure, and aligned with industry standards.
What's included
23 videos4 readings1 assignment4 peer reviews
23 videos•Total 189 minutes
- SonarQube Introduction•4 minutes
- AI-Powered SonarQube Setup: Turning Technical Debt into Clean Code•10 minutes
- From Infra Debt to Dev Setup: Launching with GitHub Codespaces •10 minutes
- The Importance of Kubernetes for SonarQube Deployments•9 minutes
- Deployment Complete: Managing Files and Next Steps•11 minutes
- Running and Troubleshooting SonarQube (Part 1)•9 minutes
- Running and Troubleshooting SonarQube (Part 2)•9 minutes
- Running and Troubleshooting SonarQube (Part 3)•14 minutes
- Integrating GitHub with SonarQube for CI/CD Automation•7 minutes
- Analyzing Results and Enforcing Code Quality Standards•6 minutes
- Debugging, File Recovery, Technical Debt & Persistent Setup•9 minutes
- SonarQube Analysis & CI Integration•7 minutes
- GitHub as Your Agent: Optimize Resources and Reduce Technical Debt •6 minutes
- Build Quietly, Showcase Smart: Sharing Your Work on LinkedIn•5 minutes
- Technical Debt & Focus: Fix, Update, and Power On with Confidence •5 minutes
- Yak Shaving & Debugging: Leveraging AI and Intuition for Smart Testing •5 minutes
- Recover & Reconfigure: Debugging SonarQube with HTOP and Lost Configs •10 minutes
- Refine Config & Access: External Ports, Project Keys, and Commit Triggers (Part 1)•10 minutes
- Refine Config & Access: External Ports, Project Keys, and Commit Triggers (Part 2)•8 minutes
- From Failing to Fulfilled: Boost Coverage, Fix Failures, Package With Purpose •13 minutes
- More Features, More Debt: Why It Matters and How to See Your Impact •14 minutes
- False Positives & Uptime: Managing SonarQube Accuracy and Cost of Availability •6 minutes
- Congratulations and Continuous Learning Journey•3 minutes
4 readings•Total 20 minutes
- Welcome to the Course: Course Overview•5 minutes
- SonarQube: Open-Source Security Automation •5 minutes
- Setting Up a GitHub App to Integrate SonarQube With GitHub •5 minutes
- How to Perform a SonarQube Security Scan: A Step-by-Step Guide •5 minutes
1 assignment•Total 20 minutes
- SonarQube Mastery: Continuous Code Inspection & Security•20 minutes
4 peer reviews•Total 60 minutes
- Hands On Learning (HOL): Building the Login Feature With GitHub Codespaces •10 minutes
- Hands On Learning (HOL): Deploying SonarQube on Kubernetes with GitHub Actions •10 minutes
- Hands On Learning (HOL): SonarQube CI/CD Integration •10 minutes
- SonarQube Implementation and Code Quality Analysis •30 minutes
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Frequently asked questions
It means using SonarQube to inspect a codebase on an ongoing basis for bugs, vulnerabilities, code smells, and other code quality issues. The course focuses on setting up that process, connecting it to development workflows, and using the results to keep code clean, secure, and maintainable.
You would use it when you want code quality and security checks to happen as code changes, instead of waiting until problems build up later. In this course, it is used to catch bugs, vulnerabilities, and code smells earlier while keeping technical debt visible.
It fits into the build-and-test phase of software delivery, where code changes are checked before they move further through the workflow. The course treats it as a repeatable step that connects development work, automated checks, and follow-up work on technical debt.
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